CN109839659B - Method for carrying out iterative optimization on prestack depth migration profile - Google Patents
Method for carrying out iterative optimization on prestack depth migration profile Download PDFInfo
- Publication number
- CN109839659B CN109839659B CN201811325270.4A CN201811325270A CN109839659B CN 109839659 B CN109839659 B CN 109839659B CN 201811325270 A CN201811325270 A CN 201811325270A CN 109839659 B CN109839659 B CN 109839659B
- Authority
- CN
- China
- Prior art keywords
- prestack
- depth
- speed
- velocity
- migration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000013508 migration Methods 0.000 title claims abstract description 153
- 230000005012 migration Effects 0.000 title claims abstract description 151
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000005457 optimization Methods 0.000 title claims abstract description 19
- 238000003384 imaging method Methods 0.000 claims abstract description 34
- 238000010586 diagram Methods 0.000 claims abstract description 19
- 238000006243 chemical reaction Methods 0.000 claims description 31
- 238000005553 drilling Methods 0.000 claims description 23
- 238000012937 correction Methods 0.000 claims description 19
- 239000007787 solid Substances 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 11
- 230000015572 biosynthetic process Effects 0.000 claims description 10
- 230000003068 static effect Effects 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 8
- 238000012795 verification Methods 0.000 claims description 8
- 238000001914 filtration Methods 0.000 claims description 4
- 230000001902 propagating effect Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 230000006872 improvement Effects 0.000 claims description 3
- 238000009776 industrial production Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 210000001015 abdomen Anatomy 0.000 abstract description 5
- 230000008569 process Effects 0.000 description 11
- 238000005755 formation reaction Methods 0.000 description 9
- 238000010276 construction Methods 0.000 description 6
- 239000011435 rock Substances 0.000 description 5
- 230000000052 comparative effect Effects 0.000 description 3
- 241001495448 Impatiens <genus> Species 0.000 description 2
- 230000002146 bilateral effect Effects 0.000 description 2
- 238000007796 conventional method Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 229930190166 impatien Natural products 0.000 description 2
- 238000010200 validation analysis Methods 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 239000004215 Carbon black (E152) Substances 0.000 description 1
- 208000019888 Circadian rhythm sleep disease Diseases 0.000 description 1
- 208000001456 Jet Lag Syndrome Diseases 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 229930195733 hydrocarbon Natural products 0.000 description 1
- 150000002430 hydrocarbons Chemical class 0.000 description 1
- 208000033915 jet lag type circadian rhythm sleep disease Diseases 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Landscapes
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention relates to the field of seismic data interpretation, and discloses a method for carrying out iterative optimization on a prestack depth migration profile, which comprises the following steps of firstly, acquiring prestack gather data; secondly, obtaining a prestack time migration profile, and comparing and explaining the prestack time migration profile; thirdly, obtaining a comprehensive initial velocity field and establishing a velocity depth model; combining the prestack gather data with the speed depth model to carry out prestack depth migration to obtain a depth profile, establishing a depth domain entity model, picking up residual speed and the like, further carrying out optimization iteration on the speed depth model, and judging whether imaging is satisfied after multiple iterations; and fifthly, analyzing the anisotropic parameters, carrying out anisotropic prestack depth migration, and obtaining a structural diagram by using the interpretation result. The method has the advantages that for complex geological structure areas with large surface relief, complex ground belly structure, quite developed two-wing side reverse masked fracture zones and the like, the obtained structure diagram has small error, and the underground well position target can be better guided and determined.
Description
Technical Field
The invention relates to the field of seismic data interpretation, in particular to a method for carrying out iterative optimization on a prestack depth migration profile.
Background
Seismic exploration is a geophysical exploration method which uses the differences of elasticity and density of underground media to infer the nature and form of underground rock formations by observing and analyzing the response of the earth to artificially excited seismic waves. Seismic exploration is an important means for surveying oil and gas resources before drilling and is widely applied. Seismic exploration is of great significance to guide drilling.
Currently, the seismic data processing usually adopts the flow shown in fig. 1:
firstly, acquiring prestack gather data mainly by using original geological data, namely seismic source data and superposed shot gather data, and horizontally superposing and suppressing interference waves;
performing prestack time migration to obtain prestack time migration data, obtaining a prestack time migration profile, and performing comparative interpretation to obtain fault and layer data of a main control layer;
thirdly, converting the root-mean-square speed of the pre-stack time migration into a layer speed through a DIX formula, and combining the layer speed with the previously obtained main control layer and layer data to establish a speed depth model;
solving a wave equation of the prestack gather data to obtain a common imaging point gather CIG and prestack depth migration data, wherein the wave equation is as follows:
wherein,
in order to obtain a diffraction term,
for the thin lens term, x is the horizontal coordinate in the rectangular spatial coordinate system, z is the spatial coordinate variable, ω is the instantaneous frequency of the angle, kxWave number in x direction, Q extended wave field, velocity V0(z) is a reference horizontal direction velocity value, V is a horizontal direction velocity value, and i is an imaginary unit.
Then obtaining a depth profile, judging whether imaging is satisfied, if not, adjusting the speed depth model, and repeating the fourth step, and if so, obtaining prestack depth migration data for later use;
fifthly, carrying out deep time conversion on the prestack depth data by a given speed field to obtain a time domain profile;
and sixthly, combining the time domain profile with the interval velocity measured by logging, logging and VSP, carrying out time-depth conversion, and obtaining a structural diagram after comparison and explanation.
According to the processing flow, in the region with flat stratum and relatively simple structure, the thin lens item has small interference, and the obtained structural diagram can have a good effect. However, in a complex geological structure region with large surface relief, complex ground belly structure, and fully developed bilateral reverse masked fracture zones, the error of the obtained tectonic graph is large.
In addition, the processing flow gives a speed field to perform deep time conversion on the prestack depth data to generate time domain data, a time domain section is obtained, then, the time depth conversion is performed by using the layer speed of the well drilling on the basis, and finally, the structure diagram is generated through comparison and interpretation. Although the structural diagram is generated, the artificial factor is large after multiple speed conversions, and the speed is easy to distort on a plane, namely the depth error on the plane is large and can reach hundreds of meters. If the well is drilled with reference to the formation map, it is easy to miss the hydrocarbon reservoir, which in turn results in the creation of a abandoned well.
In summary, the above processing method can obtain a large tectonic map error, which can reach hundreds of meters, for complex geological tectonic regions with large surface relief, complex ground-abdomen structure, and fully developed bilateral inversion fault zone. If the error is so large, if the formation diagram obtained from the above-described process flow diagram is used to guide drilling, the oil and gas reservoir is easily missed, and a large loss is generated. The drilling cost is high, and the loss is huge because a few wells are tens of millions. Therefore, the structural diagram obtained by the processing flow has a poor guiding significance for geologists to determine the underground well position target in a complex geological structural area with large surface relief, complex ground belly structure, and quite developed two-wing side reverse-masked fracture zones, and how to obtain a structural diagram with a more guiding significance is an urgent need.
Disclosure of Invention
Based on the above problems, the present invention provides a method for iterative optimization of a pre-stack depth migration profile. The method has the advantages that for complex geological structure areas with large surface relief, complex ground belly structure, quite developed two-wing side reverse masked fracture zones and the like, the obtained structure diagram has small error, and the underground well position target can be better guided and determined.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a method for iterative optimization of a pre-stack depth migration profile, comprising the steps of,
[1] acquiring prestack gather data through seismic source data and stacked shot gather data;
[2] pre-stack time migration is carried out on pre-stack trace set data to obtain pre-stack time migration data, a pre-stack time migration profile is obtained, comparison and explanation are carried out to obtain control layer fault and layer data, and an initial solid model is established;
[3] combining the layer speed obtained by converting the pre-stack time migration root mean square speed through a DIX formula and the layer speed measured by drilling to obtain a comprehensive initial speed field, combining the comprehensive initial speed field with the control layer fault data and the layer data obtained in the step (2), and establishing a speed depth model;
in the process of establishing the speed depth model, the layer speed obtained by DIX formula conversion is adopted in the prior art, and the processing mode gradually generates larger errors along with the depth of the stratum. In the method, the comprehensive speed field is adopted to replace the stratum speed adopted in the prior art, and the stratum speed measured by logging, logging and VSP (vertical seismic profiling) obtained along with the deepening of a drilling well is considered in the comprehensive speed field, so that the error generated along with the deepening of a stratum is eliminated, the speed depth model is more accurate, and the tectonic graph obtained by the method is closer to the actual stratum structure.
[4] Combining the prestack gather data obtained in the step (1) with the speed depth model obtained in the step (3), solving a wave equation to obtain prestack depth migration data, and then obtaining a prestack depth migration profile; comparing and explaining the pre-stack depth migration profile and picking up the residual speed, further establishing a speed depth model and performing optimization iteration on the speed depth model, judging whether the imaging of the pre-stack depth migration profile is satisfactory after multiple iterations, if not, re-establishing the speed depth model and performing the step again, and if so, acquiring pre-stack depth migration data for later use;
in the prior art, the speed depth model obtained for the first time is contrasted and explained in a range from a scale to a depth domain according to a time migration profile, and the obtained result has a large migration error. Therefore, the improved method of the invention is to compare and explain the prestack depth migration of the speed depth model in the depth domain again, if the migration result is not consistent with the built model, the model is required to be adjusted to conduct prestack depth migration again, and iteration is carried out for multiple times until the migration result is consistent with the built model.
[5] And (4) analyzing anisotropic parameters, carrying out anisotropic prestack depth migration on the prestack depth migration data finally obtained in the step (4) to obtain final prestack depth migration data, then obtaining a prestack depth migration profile, carrying out fine comparison and explanation on the prestack depth migration profile, and obtaining a structural diagram by using an explanation result.
In this step, after satisfactory prestack depth migration data is obtained, anisotropic migration is performed instead of performing multiple times of depth-time conversion and time-depth conversion. Because the number of speed conversion times in the processing process is reduced, errors generated in data processing are reduced, the accuracy of the generated construction diagram is improved, and the construction diagram is closer to the actual situation.
Preferably, in step [1], the seismic source data and the stacked shot gather data are preprocessed, and the preprocessing includes one or more processing modes of static correction, dynamic correction, filtering, deconvolution, amplitude compensation, residual static correction and velocity analysis.
Preferably, in step [2], before pre-stack time migration is performed on the pre-stack gather data, horizontal stacking processing is performed on the pre-stack gather data to know the basic structural form of the formation in the work area, so as to assist the comparative interpretation of the pre-stack time migration profile and establish the initial solid model.
Preferably, the step [3] specifically comprises the following steps:
[3-1] approximately regarding a reflected wave time distance curve under the condition of a horizontal layered medium as a hyperbolic curve, and calculating the pre-stack time migration root-mean-square velocity of seismic waves propagating in the horizontal layered medium;
the calculation formula of the root mean square velocity of the nth layer horizontal laminar medium is as follows:
[3-2] converting the pre-stack time migration root-mean-square velocity obtained in the step [3-1] into a layer velocity profile of each layer of horizontal layered medium through DIX conversion;
the basic formula of the DIX conversion is as follows:
(3-3) fitting the whole-region speed variation trend by using the layer speed profile obtained in the step (3-2), and obtaining a comprehensive initial speed field by combining the layer speed measured by drilling, wherein the layer speed measured by drilling is the layer speed of each control layer obtained by the reverse calculation of the drilled wells in the work region and the adjacent regions;
and 3-4, calculating the depth of the stratum interface by using the time of the top and the bottom of the stratum interface picked from the prestack gather data and the comprehensive initial velocity field obtained in the step 3-3, thereby establishing a velocity depth model.
Further preferably, the step [3-2] of estimating the layer velocity by the DIX conversion using the pre-stack time-migration root mean square velocity comprises the steps of:
[3-2-1] for each layer in the model, picking up the top and bottom time of the stratum interface in the prestack gather data corresponding to the bottom of the stratum interface, and using the obtained top and bottom time of the stratum interface to replace the two-way zero offset time in a basic formula of DIX conversion;
[3-2-2] extracting the root mean square velocity of each stratum;
and [3-2-3] calculating the layer velocity of each layer by using a DIX conversion basic formula according to the time of the top and the bottom of the interface obtained in the step [3-2-1] and the root-mean-square velocity obtained in the step [3-2-2 ].
Preferably, in step [4], the method for performing optimization iteration on the velocity depth model includes the following steps:
[4-1] performing horizon and fault interpretation on the prestack depth migration profile, and establishing a solid model again;
[4-2] utilizing the prestack depth migration profile, analyzing the residual speed along the layer according to the layer explained by the depth domain, picking up the residual speed value, and generating a new speed field by combining the comprehensive initial speed field obtained in the step [3 ];
[4-3] generating a new velocity depth model by using the solid model obtained in the step [4-1] and the new velocity field obtained in the step [4-2], and performing prestack depth migration on the new velocity depth model again to obtain a new prestack depth migration profile;
[4-4] if the imaging of the new prestack depth migration profile is not satisfactory and the solid model and the velocity field need to be further modified, the new prestack depth migration profile is substituted into the step [4-1] and the step [4-2] to repeatedly establish the velocity depth model.
Preferably, in step [4], the rule for judging satisfactory imaging is that the prestack depth migration profile should satisfy the following requirements:
firstly, imaging a prestack depth migration profile according with the geological rule of a work area;
compared with the prestack time migration imaging, the prestack depth migration profile imaging has the improvement on the aspects of reflected impedance characteristics and contact relations;
and thirdly, the error between the imaging of the prestack depth migration profile and the depth of the drilled well in the work area is required to be within the range allowed by industrial production.
Preferably, in step [5], the method for anisotropic prestack depth migration of prestack depth migration data comprises the steps of:
[5-1] obtaining a well point position offset speed of the completed well and a well point position back-calculation speed by using the prestack depth offset data obtained in the step [4], and calculating anisotropic parameters delta and epsilon;
the formula for ε is:
wherein alpha is0Is the velocity of the vertical P-wave in the seismic wave, alphahThe velocity of horizontal P wave in the seismic wave;
the calculation formula of δ is:
wherein alpha is0Velocity of vertical P-wave, vNMOThe dynamic correction speed of a horizontal reflecting surface in the anisotropic medium is obtained;
[5-2] establishing a speed depth model by using the prestack depth migration profile obtained in the step [4], fitting the anisotropic parameters delta and epsilon obtained in the step [5-1] into the established speed depth model, then performing anisotropic prestack depth migration treatment on the prestack data obtained in the step [1],
the formula for anisotropic prestack migration is:
where t is the double time from the source to the reflecting surface to the detection point, t0Is a two-way zero offset time, x is a shot offset distance, A2、A4And A is the coefficient:
preferably, step [6] is further included after step [5], and step [6] is:
after the structural map is obtained in the step [5], carrying out reliability verification on the structural map, wherein the reliability verification is to confirm that the depth domain gather, the prestack depth migration profile, the model interpretation horizon, the contrast interpretation horizon and the structural map at the same position in the prestack gather data are consistent in depth,
the model interpretation horizons are from the modified contrast interpretation horizons of the solid model established in step [4],
and the contrast interpretation horizon is from the final contrast interpretation horizon in the step [5] and is used for generating a horizon of the structural map.
Compared with the prior art, the invention has the beneficial effects that:
1. in the process of establishing the speed depth model, the layer speed obtained by DIX formula conversion is adopted in the prior art, and the processing mode gradually generates larger errors along with the depth of the stratum. In the method, the comprehensive speed field is adopted to replace the stratum speed adopted in the prior art, and the stratum speed measured by logging, logging and VSP (vertical seismic profiling) obtained along with the deepening of a drilling well is considered in the comprehensive speed field, so that the error generated along with the deepening of a stratum is eliminated, the speed depth model is more accurate, and the tectonic graph obtained by the method is closer to the actual stratum structure.
2. Compared with the scheme of directly imaging after obtaining the prestack depth migration profile in the prior art, the technical scheme of the invention performs iterative optimization on the prestack depth migration profile, the optimized prestack depth migration profile has better imaging quality, and the imaging is more in line with the actual stratum structure.
3. After satisfactory prestack depth migration data is obtained, anisotropic migration is performed instead of performing multiple depth-time conversions and time-depth conversions. Because the number of speed conversion times in the processing process is reduced, errors generated in data processing are reduced, the accuracy of the generated construction diagram is improved, and the construction diagram is closer to the actual situation.
By combining the three points, the structure diagram obtained by the method has small error for complex geological structure areas with large surface relief, complex ground belly structure, quite developed two-wing side reverse masked fracture zones and the like, and can better guide and determine the underground well position target.
Drawings
Fig. 1 is a schematic view of a conventional process flow.
FIG. 2 is a schematic view of the process flow of the present invention.
Fig. 3 is a time domain comparative explanation.
Fig. 4 is a time domain contrast-interpreting stereoscopic display.
FIG. 5 is a time domain mockup building process.
Fig. 6 is a prestack time migration root mean square velocity volume (Vrms).
FIG. 7 shows the layer velocity volume (root mean square velocity volume converted by DIX).
Fig. 8 is a comprehensive velocity body.
Fig. 9 is a comparison of the distribution of root mean square velocity (left), layer velocity (middle) and integrated velocity (right) along the plane of a layer.
FIG. 10 is a velocity depth model.
Fig. 11 is a depth domain contrast interpretation.
FIG. 12 is a depth domain solid model.
Fig. 13 shows the pick-up of the remaining speed in the depth domain.
FIG. 14 is an optimized velocity depth model.
FIG. 15 is an anisotropy parameter analysis.
Fig. 16 is a depth domain contrast interpretation.
Fig. 17 is a generated tectonic graph (bottom two-fold system seismic reflection tectonic graph).
FIG. 18 is a prestack depth migration validation ("five pairs of ports").
FIG. 19 shows the comparison of the results of the old and the new results (left: old results, right: new results).
FIG. 20 shows the comparison of the new and old results (upper: old fruit, lower: new fruit).
Detailed Description
All of the features disclosed in this specification, or all of the steps in any method or process so disclosed, may be combined in any combination, except combinations of features and/or steps that are mutually exclusive.
A method for iterative optimization of a pre-stack depth migration profile, comprising the steps of,
[1] acquiring prestack gather data through seismic source data and stacked shot gather data;
[2] pre-stack time migration is carried out on pre-stack trace set data to obtain pre-stack time migration data, a pre-stack time migration profile is obtained, comparison and explanation are carried out to obtain control layer fault and layer data, and an initial solid model is established;
[3] combining the layer speed obtained by converting the pre-stack time migration root mean square speed through a DIX formula and the layer speed measured by drilling to obtain a comprehensive initial speed field, combining the comprehensive initial speed field with the control layer fault data and the layer data obtained in the step (2), and establishing a speed depth model;
[4] combining the prestack gather data obtained in the step (1) with the speed depth model obtained in the step (3), solving a wave equation to obtain prestack depth migration data, and then obtaining a prestack depth migration profile; comparing and explaining the pre-stack depth migration profile and picking up the residual speed, further establishing a speed depth model and performing optimization iteration on the speed depth model, judging whether the imaging of the pre-stack depth migration profile is satisfactory after multiple iterations, if not, re-establishing the speed depth model and performing the step again, and if so, acquiring pre-stack depth migration data for later use;
[5] and (4) analyzing anisotropic parameters, carrying out anisotropic prestack depth migration on the prestack depth migration data finally obtained in the step (4) to obtain final prestack depth migration data, then obtaining a prestack depth migration profile, carrying out fine comparison and explanation on the prestack depth migration profile, and obtaining a structural diagram by using an explanation result.
Preferably, in step [1], the seismic source data and the stacked shot gather data are preprocessed, and the preprocessing includes one or more of static correction, dynamic correction, filtering, deconvolution, amplitude compensation, residual static correction and velocity analysis. The static correction is the correction of surface factors; the filtering is to change the frequency spectrum composition of the original waveform function, reserve the frequency components of the effective wave and filter the frequency components of the interference wave, thereby improving the seismic record appearance so as to achieve the purposes of highlighting the effective wave, suppressing the interference wave and improving the signal-to-noise ratio; the deconvolution is to compress basic seismic wavelets in the seismic record to suppress reverberation and short-period multiples, so that the time resolution is improved, and the reflection coefficient of the underground stratum is reproduced; the amplitude compensation is to recover and maintain the energy of the signal, and to ensure that the signal-to-noise ratio and the fidelity of the seismic data are improved while the resolution of the seismic data is improved as much as possible; the residual static correction is the surface factors which are not eliminated by the field static correction.
Preferably, in step [2], before the prestack gather data is subjected to prestack time migration, the prestack gather data is subjected to horizontal stacking processing to learn the basic structural form of the formation in the work area, so as to assist the comparison and interpretation of the prestack time migration profile and establish the initial solid model.
Preferably, the step [3] specifically comprises the following steps:
[3-1] approximately regarding a reflected wave time distance curve under the condition of a horizontal layered medium as a hyperbolic curve, and calculating the pre-stack time migration root-mean-square velocity of seismic waves propagating in the horizontal layered medium;
the calculation formula of the root mean square velocity of the nth layer horizontal laminar medium is as follows:
wherein, VRRoot mean square velocity; viIs the square of the single-pass vertical travel speed; t is tiOne-way vertical travel time;
[3-2] converting the pre-stack time migration root-mean-square velocity obtained in the step [3-1] into a layer velocity profile of each layer of horizontal layered medium through DIX conversion;
the basic formula of the DIX conversion is as follows:
wherein; vneIs the (n) th above1) Formation velocities limited by one formation boundary and the nth formation boundary below. Tau isnAnd τn-1For two-way zero offset time, VnAnd Vn-1Is the corresponding root mean square velocity.
When the root mean square velocity of the nth layer, the (n-1) th layer, and the τ of the two layers are knownnAnd τn-1For two-way zero offset time, the layer velocity of the nth layer can be calculated using the DIX formula. The DIX conversion equation is based on the fact that the layer interface is flat and is used to estimate the root mean square velocity VnAnd Vn-1The offset range of (2) corresponds to a small permutation. In addition, it should be noted that the root mean square velocity used in the equation is based on the assumption of a straight ray; thus, DIX conversion does not take into account ray bending at the formation interface.
(3-3) fitting the whole-region speed variation trend by using the layer speed profile obtained in the step (3-2), and obtaining a comprehensive initial speed field by combining the layer speed measured by drilling, wherein the layer speed measured by drilling is the layer speed of each control layer obtained by the reverse calculation of the drilled wells in the work region and the adjacent regions;
and 3-4, calculating the depth of the stratum interface by using the time of the top and the bottom of the stratum interface picked from the prestack gather data and the comprehensive initial velocity field obtained in the step 3-3, thereby establishing a velocity depth model.
In the step [3-4], if the time comes from the non-deviated superposed section, performing depth inversion by using a vertical ray; if the input time is from an offset stack profile, depth inversion is performed with the imaging ray. And (3) in the step (1), setting a time window length for the data of the common-center-point gathers which are subjected to dynamic and static correction and arranged according to the offset, and performing equal-weight superposition on the offset in one common-center-point gather.
Further preferably, the step [3-2] of estimating the layer velocity by the DIX conversion using the pre-stack time-migration root-mean-square velocity comprises the steps of:
[3-2-1] for each layer in the model, picking up the top and bottom time of the stratum interface in the prestack gather data corresponding to the bottom of the stratum interface, and using the obtained top and bottom time of the stratum interface to replace the two-way zero offset time in a basic formula of DIX conversion;
[3-2-2] extracting the root mean square velocity of each stratum;
and [3-2-3] calculating the layer velocity of each layer by using a DIX conversion basic formula according to the time of the top and the bottom of the interface obtained in the step [3-2-1] and the root-mean-square velocity obtained in the step [3-2-2 ].
The layer velocity is the average velocity of seismic waves propagating in a certain layer in a group of horizontal layered media, namely the ratio of the total thickness of the seismic waves vertically passing through the layers above the cover layer to the total propagation time:
Wherein VavIs the average velocity; h isiIs the vertical thickness of the nth layer; Δ tiIs the vertical travel time of the nth layer.
Preferably, in step [4], the wave equation is:
wherein,
in order to obtain a diffraction term,
for the thin lens term, x is the horizontal coordinate in the rectangular spatial coordinate system, z is the depth coordinate, ω is the circle frequency, z is the spatial coordinate variable, ω is the instantaneous frequency of the angle, kxWave number in x direction, Q extended wave field, velocity V0(z) is a reference horizontal direction velocity value, V is a horizontal direction velocity value, and i is an imaginary unit.
Preferably, in step [4], the method for performing optimization iteration on the velocity depth model includes the following steps:
[4-1] performing horizon and fault interpretation on the prestack depth migration profile, and establishing a solid model again;
[4-2] utilizing the prestack depth migration profile, analyzing the residual speed along the layer according to the layer explained by the depth domain, picking up the residual speed value, and generating a new speed field by combining the comprehensive initial speed field obtained in the step [3 ];
[4-3] generating a new velocity depth model by using the solid model obtained in the step [4-1] and the new velocity field obtained in the step [4-2], and performing prestack depth migration on the new velocity depth model again to obtain a new prestack depth migration profile;
[4-4] if the imaging of the new prestack depth migration profile is not satisfactory and the solid model and the velocity field need to be further modified, the new prestack depth migration profile is substituted into the step [4-1] and the step [4-2] to repeatedly establish the velocity depth model.
Preferably, in step [4], the rule for judging satisfactory imaging is that the prestack depth migration profile should satisfy the following requirements:
firstly, imaging a prestack depth migration profile according with the geological rule of a work area;
the prestack depth migration profile imaging is improved in the aspects of reflection wave resistance characteristics and contact relation compared with prestack time migration imaging;
and thirdly, the error between the imaging of the prestack depth migration profile and the depth of the drilled well in the work area is required to be within the range allowed by industrial production.
Preferably, in step [5], the method of anisotropic pre-stack depth migration of pre-stack depth migration data comprises the steps of:
[5-1] obtaining a well point position offset speed of the completed well and a well point position back-calculation speed by using the prestack depth offset data obtained in the step [4], and calculating anisotropic parameters delta and epsilon;
the discussion of anisotropy is mainly limited to the propagation of P-waves in anisotropic rocks, the P-wave velocity being dependent on the anisotropy parameters δ and ε, but not γ. In fact, the SV wave velocity also depends only on δ and ε, while the SH wave velocity depends only on γ.
The P-wave phase velocity is:
(αθ)＝α0(1+δsin2θ+εsin4θ)
the vertical incidence, theta is 0 degree above equation to give the vertical P wave speed alpha0，
Horizontal incidence, θ is 90 degrees, which is derived from the above equation:
αh＝α0(1+ε)
solving epsilon to obtain:
the parameter epsilon indicates the degree of rock anisotropy, which can be taken as a partial difference between the vertical P-wave velocity and the horizontal P-wave velocity alphah. Since for most rocks ε >0, note that the horizontal P-wave velocity is greater than the vertical P-wave velocity.
Kinetic correction velocity v of horizontal reflecting surface in anisotropic mediumNMO(phi is 0, phi is tilt angle), given by Thomsen (1986):
in the special case where δ is 0, the jet lag velocity is the same as the velocity of the isotropic medium.
Kinetic correction velocity vNMOFrom step [1]And carrying out velocity analysis to eliminate the travel time difference of reflected waves caused by offset variation in different superposed channels and carrying out dynamic correction to obtain the target.
[5-2] establishing a speed depth model by using the prestack depth migration profile obtained in the step [4], fitting the anisotropic parameters delta and epsilon obtained in the step [5-1] into the established speed depth model, then performing anisotropic prestack depth migration treatment on the prestack data obtained in the step [1],
the formula for anisotropic prestack migration is the P-wave travel time equation for horizontal reflectors, given by Tsvenkin and Thomsen (1994):
where t is the double time from the source to the reflecting surface to the detection point, t0Is a two-way zero offset time, x is a shot offset distance, A2、A4And A is the coefficient:
for comparison, the travel time equation for writing a horizontal reflecting surface in an isotropic medium is analyzed with the following equation:
for isotropic velocity analysis, we need to scan only one parameter, namely velocity. And (3) carrying out anisotropic velocity analysis by using a P wave travel time equation of the horizontal reflecting surface.
Preferably, step [6] is further included after step [5], and step [6] is:
after the structural map is obtained in the step [5], performing reliability verification, namely five-port verification, on the structural map, wherein the reliability verification is to confirm that the depth domain gathers, the prestack depth migration profiles, the model interpretation horizons, the contrast interpretation horizons and the structural map at the same positions have consistent depths,
the model interpretation horizons are from the modified contrast interpretation horizons of the solid model established in step [4],
and the contrast interpretation horizon is from the final contrast interpretation horizon in the step [5] and is used for generating a horizon of the structural map.
The invention will be further described with reference to the accompanying drawings. Embodiments of the present invention include, but are not limited to, the following examples.
Example 1:
taking a complex geological structure area with large surface relief, complex ground-belly structure, quite developed reverse masked fracture zones on two wing sides and the like as an example, fig. 3 is a time domain comparison explanation, and fig. 4 is a time domain comparison explanation three-dimensional display; FIG. 5 is a time domain entity model establishment, FIG. 6 is a pre-stack time migration root mean square velocity volume (Vrms), FIG. 7 is a layer velocity volume obtained by DIX formula conversion of the root mean square velocity volume, FIG. 8 is a comprehensive velocity volume obtained by adding the entity model after correcting layer velocities measured by well logging, and VSP on the basis of the layer velocity volume, FIG. 9 is a plane distribution comparison graph of the layer root mean square velocity (left), the layer velocity (middle), and the comprehensive velocity (right) along a certain layer, FIG. 10 is an initial velocity depth model established by using the time domain entity model and the comprehensive velocity volume ratio to a depth domain, FIG. 11 is a pre-stack depth migration profile comparison interpretation of a data volume obtained after solving a wave equation, FIG. 12 is a depth domain entity model, FIG. 13 is a pick-up of a residual velocity in the depth domain, FIG. 14 is a velocity depth model after iterative optimization, FIG. 15 is an anisotropic parameter analysis performed by an anisotropic data volume calculated by combining well data and seismic data, the calculated anisotropic parameter profile shows the depth domain contrast interpretation of the pre-stack depth migration profile finally obtained in fig. 16, fig. 17 is a finally generated lower two-stack system bottom boundary seismic reflection construction map (lower two-stack system bottom boundary seismic reflection construction map), and fig. 18 is the "five-port" validation of the pre-stack depth migration.
FIG. 19 is a comparison of an old outcome map of a pre-stack depth migration profile imaging obtained using a conventional method and a new outcome map of a pre-stack depth migration profile imaging obtained using the method of the present application. It can be seen from the comparison graph that the imaging quality of the new result section is obviously better than that of the old result, the deviation result of the new result is more consistent with the actual drilling inclination angle data, under the complex condition of the well (the stratum trend changes and the stratum is thickened), the old result can not guide the drilling, and according to the prestack depth deviation section, the inclination reducing measure is adopted, the drilling is continued downwards, and finally the drilling is carried out for 40m, and the target layer is successfully drilled.
Example 2
FIG. 20 is a comparison of an old outcome map of a prestack depth migration profile imaging obtained using a conventional method and a new outcome map of a prestack depth migration profile imaging obtained using the method of the present application for another work area. The well is fixed according to old achievement data, and the target point position data of the original design is continuous and has no complex condition when viewed from a well fixing section, but the complex condition occurs in the actual drilling process and has larger difference with the original design. The new achievement obtained after the prestack depth migration is carried out by the method has certain improvement from the older achievement of the section imaging quality, the position of the target layer high point of the new achievement deviates by about 500m towards the west, the continuity of the data of the well bottom position on the depth migration section is poor, and the new achievement is a complex data zone and is more consistent with the actual drilling. And (3) sidetracking a rock carbon system according to a new result, exploring the flying and impatiens oolitic beach, finally successfully drilling a reservoir meeting the flying and impatiens oolitic beach, and testing gas acquisition.
The above is an embodiment of the present invention. The specific parameters in the above embodiments and examples are only for the purpose of clearly illustrating the invention verification process of the inventor and are not intended to limit the scope of the invention, which is defined by the claims, and all equivalent structural changes made by using the contents of the specification and the drawings of the present invention should be covered by the scope of the present invention.
Claims (6)
1. A method for iterative optimization of a prestack depth migration profile, comprising the steps of:
[1] acquiring prestack gather data through seismic source data and stacked shot gather data;
[2] pre-stack time migration is carried out on pre-stack trace set data to obtain pre-stack time migration data, a pre-stack time migration profile is obtained, comparison and explanation are carried out to obtain control layer fault and layer data, and an initial solid model is established;
[3] combining the layer speed obtained by converting the pre-stack time migration root mean square speed through a DIX formula and the layer speed measured by drilling to obtain a comprehensive initial speed field, combining the comprehensive initial speed field with the control layer fault data and the layer data obtained in the step (2), and establishing a speed depth model;
[4] combining the prestack gather data obtained in the step (1) with the speed depth model obtained in the step (3), solving a wave equation to obtain prestack depth migration data, and then obtaining a prestack depth migration profile; comparing and explaining the pre-stack depth migration profile and picking up the residual speed, further establishing a speed depth model and performing optimization iteration on the speed depth model, judging whether the imaging of the pre-stack depth migration profile is satisfactory after multiple iterations, if not, re-establishing the speed depth model and performing the step again, and if so, acquiring pre-stack depth migration data for later use;
in step [4], the method for performing optimization iteration on the velocity depth model comprises the following steps:
[4-1] performing horizon and fault interpretation on the prestack depth migration profile, and establishing a solid model again;
[4-2] utilizing the prestack depth migration profile, analyzing the residual speed along the layer according to the layer explained by the depth domain, picking up the residual speed value, and generating a new speed field by combining the comprehensive initial speed field obtained in the step [3 ];
[4-3] generating a new velocity depth model by using the solid model obtained in the step [4-1] and the new velocity field obtained in the step [4-2], and performing prestack depth migration on the new velocity depth model again to obtain a new prestack depth migration profile;
[4-4] if the imaging of the new prestack depth migration profile is not satisfactory and the solid model and the velocity field need to be further modified, substituting the new prestack depth migration profile into the step [4-1] and the step [4-2] to repeatedly establish the velocity depth model;
[5] analyzing anisotropic parameters, carrying out anisotropic prestack depth migration on the prestack depth migration data finally obtained in the step [4], obtaining final prestack depth migration data, further obtaining a prestack depth migration profile, carrying out fine comparison and explanation on the prestack depth migration profile, and obtaining a structural diagram by using an explanation result;
in step [5], the method of anisotropic pre-stack depth migration of pre-stack depth migration data comprises the steps of:
[5-1] obtaining a well point position offset speed of the completed well and a well point position back-calculation speed by using the prestack depth offset data obtained in the step [4], and calculating anisotropic parameters delta and epsilon;
the formula for ε is:
wherein alpha is0Is the velocity of the vertical P-wave in the seismic wave, alphahThe velocity of horizontal P wave in the seismic wave;
the calculation formula of δ is:
wherein alpha is0Velocity of vertical P-wave, vNMOThe dynamic correction speed of a horizontal reflecting surface in the anisotropic medium is obtained;
[5-2] establishing a speed depth model by using the prestack depth migration profile obtained in the step [4], fitting the anisotropic parameters delta and epsilon obtained in the step [5-1] into the established speed depth model, then performing anisotropic prestack depth migration treatment on the prestack data obtained in the step [1],
the formula for anisotropic prestack migration is:
where t is the double time from the source to the reflecting surface to the detection point, t0Is a two-way zero offset time, x is a shot offset distance, A2、A4And A is the coefficient:
[6] after the structural map is obtained in the step [5], carrying out reliability verification on the structural map, wherein the reliability verification is to confirm that the depth domain gather, the prestack depth migration profile, the model interpretation horizon, the contrast interpretation horizon and the structural map at the same position in the prestack gather data are consistent in depth,
the model interpretation horizons are from the modified contrast interpretation horizons of the solid model established in step [4],
and the contrast interpretation horizon is from the final contrast interpretation horizon in the step [5] and is used for generating a horizon of the structural map.
2. The method of claim 1, wherein in step [1], the source data and the stacked shot gather data are preprocessed, and the preprocessing comprises one or more of static correction, dynamic correction, filtering, deconvolution, amplitude compensation, residual static correction, and velocity analysis.
3. The method as claimed in claim 1, wherein in step [2], before performing prestack time migration on the prestack gather data, the prestack gather data is subjected to horizontal stacking processing to obtain the basic structural configuration of the formation in the work area, so as to assist the comparison and interpretation of the prestack time migration profile and establish the initial solid model.
4. The method for iterative optimization of a prestack depth migration profile according to claim 1, wherein the step [3] comprises the following steps:
[3-1] approximately regarding a reflected wave time distance curve under the condition of a horizontal layered medium as a hyperbolic curve, and calculating the pre-stack time migration root-mean-square velocity of seismic waves propagating in the horizontal layered medium;
the calculation formula of the root mean square velocity of the horizontal layered medium of the nth layer is as follows:
wherein, VRRoot mean square velocity, ViIs the square of the one-way vertical travel speed, tiOne-way vertical travel time;
[3-2] converting the pre-stack time migration root-mean-square velocity obtained in the step [3-1] into a layer velocity profile of each layer of horizontal layered medium through DIX conversion;
the basic formula of the DIX conversion is as follows:
wherein, VneFormation velocities, τ, limited for the (n-1) th above and the nth belownAnd τn-1For two-way zero offset time, VnAnd Vn-1Is the corresponding root mean square velocity;
(3-3) fitting the whole-region speed variation trend by using the layer speed profile obtained in the step (3-2), and obtaining a comprehensive initial speed field by combining the layer speed measured by drilling, wherein the layer speed measured by drilling is the layer speed of each control layer obtained by the reverse calculation of the drilled wells in the work region and the adjacent regions;
and 3-4, calculating the depth of the stratum interface by using the time of the top and the bottom of the stratum interface picked from the prestack gather data and the comprehensive initial velocity field obtained in the step 3-3, thereby establishing a velocity depth model.
5. The method of claim 4, wherein the step [3-2] of estimating the layer velocity using the pre-stack time migration root-mean-square velocity for the DIX conversion comprises the steps of:
[3-2-1] for each layer in the model, picking up the top and bottom time of the stratum interface in the prestack gather data corresponding to the bottom of the stratum interface, and using the obtained top and bottom time of the stratum interface to replace the two-way zero offset time in a basic formula of DIX conversion;
[3-2-2] extracting the root mean square velocity of each stratum;
and [3-2-3] calculating the layer velocity of each layer by using a DIX conversion basic formula according to the time of the top and the bottom of the interface obtained in the step [3-2-1] and the root-mean-square velocity obtained in the step [3-2-2 ].
6. The method for iterative optimization of prestack depth migration profiles according to claim 1, wherein in step [4], the rule for judging imaging satisfaction is that the prestack depth migration profiles satisfy the following requirements:
firstly, imaging a prestack depth migration profile according with the geological rule of a work area;
compared with the prestack time migration imaging, the prestack depth migration profile imaging has the improvement on the aspects of reflected impedance characteristics and contact relations;
and thirdly, the error between the imaging of the prestack depth migration profile and the depth of the drilled well in the work area is required to be within the range allowed by industrial production.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811325270.4A CN109839659B (en) | 2018-11-08 | 2018-11-08 | Method for carrying out iterative optimization on prestack depth migration profile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811325270.4A CN109839659B (en) | 2018-11-08 | 2018-11-08 | Method for carrying out iterative optimization on prestack depth migration profile |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109839659A CN109839659A (en) | 2019-06-04 |
| CN109839659B true CN109839659B (en) | 2021-08-27 |
Family
ID=66883115
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811325270.4A Active CN109839659B (en) | 2018-11-08 | 2018-11-08 | Method for carrying out iterative optimization on prestack depth migration profile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109839659B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113253348B (en) * | 2021-05-21 | 2023-03-17 | 中石化石油工程技术服务有限公司 | Geological profile imaging compensation method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101545986A (en) * | 2009-05-06 | 2009-09-30 | 匡斌 | Tridimensional integral prestack depth migration method based on maximum energy travel calculation |
| CN102176053A (en) * | 2011-01-27 | 2011-09-07 | 中国科学院地质与地球物理研究所 | Method for improving imaging effect of wave equation prestack depth migration |
| CN105277977A (en) * | 2015-10-15 | 2016-01-27 | 中国石油天然气集团公司 | Method and device for building pre-stack depth migration velocity field model |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104422955B (en) * | 2013-08-22 | 2017-06-20 | 中国石油化工股份有限公司 | A kind of method that anisotropic parameters extraction is carried out using variable quantity when travelling |
-
2018
- 2018-11-08 CN CN201811325270.4A patent/CN109839659B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101545986A (en) * | 2009-05-06 | 2009-09-30 | 匡斌 | Tridimensional integral prestack depth migration method based on maximum energy travel calculation |
| CN102176053A (en) * | 2011-01-27 | 2011-09-07 | 中国科学院地质与地球物理研究所 | Method for improving imaging effect of wave equation prestack depth migration |
| CN105277977A (en) * | 2015-10-15 | 2016-01-27 | 中国石油天然气集团公司 | Method and device for building pre-stack depth migration velocity field model |
Non-Patent Citations (1)
| Title |
|---|
| "叠前深度偏移技术在QMQ地区成像中的应用";杜业波 等;《煤田地质与勘探》;20110630;第39卷(第3期);第63-66页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109839659A (en) | 2019-06-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109738945B (en) | Method for directly generating construction diagram by using prestack depth migration result | |
| CN109425896B (en) | Dolomite oil and gas reservoir distribution prediction method and device | |
| CN109839660A (en) | A method of velocity depth model is established using prestack trace gather data | |
| CN104570125B (en) | Method for improving imaging speed model precision by using well data | |
| CN104216014B (en) | Seismic signal frequency division processing method | |
| CN101329407B (en) | Method for quick switching wave direct simulation to determine formation lithology and lithofacies change | |
| CN111722284B (en) | Method for establishing speed depth model based on gather data | |
| CN101598805A (en) | Contrast of a kind of multi-component seismic data layer position and scaling method | |
| CN101446645A (en) | Method for determining fluid by using seismic fluid impedance | |
| CN104459794A (en) | Common-reflection-point gather time-variable time difference correction method and device | |
| US5982706A (en) | Method and system for determining normal moveout parameters for long offset seismic survey signals | |
| US6289285B1 (en) | Seismic velocity analysis for class II sands | |
| CN104122582B (en) | The method that accurately seismic velocity is asked for using stack velocity | |
| CN111983683B (en) | Prediction method and system for lake-facies limestone reservoir under low-well condition | |
| CN104570116A (en) | Geological marker bed-based time difference analyzing and correcting method | |
| CN106125139B (en) | A kind of D seismic modeling method and system | |
| CN102073064A (en) | Method for improving velocity spectrum resolution by using phase information | |
| CN102565852B (en) | Angle domain pre-stack offset data processing method aiming to detect oil-gas-bearing property of reservoir | |
| CN105093291B (en) | Method for recovering seismic reflection characteristics of oil and gas reservoir | |
| CN109839659B (en) | Method for carrying out iterative optimization on prestack depth migration profile | |
| Chen et al. | Improving the Precision of Surface Seismic Data Processing by Walkaway VSP | |
| CN109581499A (en) | A method of structural map is generated using anisotropy pre-stack depth migration | |
| CN105527648A (en) | Calculation method and system of sensitivity matrix for anisotropy parameter inversion | |
| CN109239777B (en) | Method for detecting development of tectonic coal by using joint inversion method | |
| CN113589375A (en) | VSP layer velocity inversion method based on inclined layer constraint travel time calculation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |